How to Think about Data Science
暫譯: 如何思考數據科學

Miranda-Saavedra, Diego

How to Think about Data Science
  • 出版商: CRC
  • 出版日期: 2022-12-23
  • 售價: $2,190
  • 貴賓價: 9.5 折 $2,081
  • 語言: 英文
  • 頁數: 376
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032369639
  • ISBN-13: 9781032369631
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

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商品描述

This book is a timely and critical introduction for people who are interested in what data science is (and isn't), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background, but at the same time, it is also a practical overview of the field for the more technical readers. The overarching goal is to demystify the field and teach the reader how to develop an analytical mindset instead of following recipes. The book takes the scientist's approach of focusing on asking the right question at every step as the most important factor contributing to the success of a data science project. Upon finishing this book, the reader should be asking more questions than I have answered. This book is, therefore, a practising scientist's approach to explaining data science through questions and examples.

商品描述(中文翻譯)

本書是一本及時且關鍵的介紹，適合對數據科學（Data Science）感興趣的人，無論是了解其定義或範疇，以及如何應用數據科學。書中的語言輕鬆對話，內容對於沒有定量或計算背景的讀者來說也很容易理解，同時對於更具技術背景的讀者來說，這也是一個實用的領域概述。整體目標是揭開數據科學的神秘面紗，並教導讀者如何培養分析思維，而不是單純遵循既定的步驟。這本書採用科學家的方法，強調在每一步驟中提出正確問題的重要性，這是促成數據科學專案成功的關鍵因素。讀完本書後，讀者應該會提出比我所回答的問題還要多的問題。因此，本書是以實踐科學家的方式，通過問題和範例來解釋數據科學。

作者簡介

Diego Miranda Saavedra is a data scientist and a financial investor with a technical management and business background. His formal education includes a PhD (data analysis), an MSc in business analytics, and an MS in software engineering from the University of Oxford.

As part of a research career in data science, Diego has made seminal contributions and worked in renowned research institutes around the world. These include the Wellcome Trust Biocentre (Dundee, UK), the Cambridge Institute for Medical Research (Cambridge, UK) and the WPI Immunology Frontier Research Center (Osaka University, Japan) where he led the bioinformatics and genomics research laboratory. While at the University of Cambridge, Diego was also elected a fellow of Wolfson College.

Diego also loves teaching data science and is currently an adjunct professor at the Faculty of Economics of the University of Groningen and at the Universitat Oberta de Catalunya.

作者簡介(中文翻譯)

Diego Miranda Saavedra 是一位數據科學家和金融投資者，擁有技術管理和商業背景。他的正式教育包括牛津大學的博士學位（數據分析）、商業分析碩士學位和軟體工程碩士學位。

作為數據科學研究生涯的一部分，Diego 在全球知名研究機構中做出了開創性的貢獻，這些機構包括英國邓迪的 Wellcome Trust Biocentre、英國劍橋的劍橋醫學研究所，以及日本大阪大學的 WPI 免疫學前沿研究中心，在那裡他領導了生物信息學和基因組學研究實驗室。在劍橋大學期間，Diego 也被選為 Wolfson College 的研究員。

Diego 也熱愛教授數據科學，目前擔任格羅寧根大學經濟學院和加泰羅尼亞開放大學的兼任教授。

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